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EBooks » [Unclassified]
Description:
Finally, a robots book for people who don't know the first thing about
robotics! Absolute Beginner's Guide to Robots is well-written,
inviting, and action-packed, with engaging ideas and fascinating
factoids about robots and robot-related arts and sciences. You are led
gently into the intimidating world of robotics, but nearly 400 pages
later, you emerge with a respectable knowledge of robot history, the
major fields and "schools" of robotics today, and the basic skills and
resources needed to create hobby robots. By the end of the book, you
will be the proud owner of three bots, the first two of which
demonstrate key robotic principles. The third is a
programmable/expandable robot, which serves as a platform for future
experimentation. And best of all, these robots are built with simple to
get and inexpensive parts - many of which you already have around the
house! This unique book
was created for those who want to extend the power of Photoshop
Elements and enjoy the valuable functionality found in advanced image
editors. Topics covered include professional color correction, complex
image alterations, readying for the web and print, and much more.  There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms combines rigor and comprehensiveness.
The book covers a broad range of algorithms in depth, yet makes their
design and analysis accessible to all levels of readers. Each chapter
is relatively self-contained and can be used as a unit of study. The
algorithms are described in English and in a pseudocode designed to be
readable by anyone who has done a little programming. The explanations
have been kept elementary without sacrificing depth of coverage or
mathematical rigor.
The first edition became the standard reference for professionals and a
widely used text in universities worldwide. The second edition features
new chapters on the role of algorithms, probabilistic analysis and
randomized algorithms, and linear programming, as well as extensive
revisions to virtually every section of the book. In a subtle but
important change, loop invariants are introduced early and used
throughout the text to prove algorithm correctness. Without changing
the mathematical and analytic focus, the authors have moved much of the
mathematical foundations material from Part I to an appendix and have
included additional motivational material at the beginning.
We humans are born with an inner drive to explore the nature of our surroundings. As young men, both Kevin Mitnick and I were intensely curious about the world and eager to prove ourselves. We were rewarded often in our attempts to learn new things, solve puzzles, and win at games. But at the same time, the world around us taught us rules of behavior that constrained our inner urge toward free exploration. For our boldest scientists and technological entrepreneurs, as well as for people like Kevin Mitnick, following this inner urge offers the greatest thrills, letting us accomplish things that others believe cannot be done. Kevin Mitnick is one of the finest people I know. Ask him, and he will say forthrightly that what he used to do - social engineering - involes conning people. But Kevin is no longer a social engineer. And even when he was, his motive never was to enrich himself or damage others. That's not to say that there aren't dangerous and destructive criminals out there who use social engineering to cause real harm. In fact, that's exactly why Kevin wrote this book - to warn you about them.  Heavily illustrated with color graphics, this introductory textbook
discusses the basics behind computer animation, spending more time on
technical issues than compositional ones. Kuperberg (School of Media,
Arts, and Technology, West Herts College, UK) and collaborators present
chapters covering tools and techniques, technical constraints, stages
of creating 3D animation, animation for multimedia, artwork for
computer games, television animation case studies, and narrative and
characterization. The material is not specific to any particular
hardware or software.
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